HW # 1-Friday 1/31 | HW # 2.-Due Friday 2/14 | HW # 3 Due 3/17 |
HW # 4 Monday 4/21. | Final Quiz Prototype. | MANOVA Exercise |
DATASETS | SAS Programs | R Programs |
Below is the list of topics in the order to be presented. Please recognize that this is a very ambitious topics list and will require the student to keep up with readings and homework assignments.
WEEK | LECTURE NOTES |
ASSOCIATED MATERIAL |
TOPICS |
1 | Basic Concepts and Matrix Algebra | ||
2 | Concepts | Univariate normal, t, chi-squared, F and multivariate normal distributions. | |
3 | PCA Notes | PCA SAS | Principal Components Analysis |
4 | CanCorr Notes | CanCorSAS | Canonical Correlations Analysis |
5 | Factor Notes | Factor SAS | Factor Analysis |
6 | Discriminate 1 | Discriminant Analysis/Pattern Recognition | |
7 | Discriminate 2 | Missing Obs1 | Non-Parametric Discrimination and Neural Networks |
8 | Correspondence Analysis | Correspondence Analysis (3/17) | |
9 | Path Analysis | Path Analysis and Structural Equations (3/19) | |
10 | Cluster Analysis | Cluster Analysis (3/21-3/28) | |
11 | Matrix Regression | Multivariate Regression (4/2) | |
12 | Multivariate Hypotheses | Multivariate Analysis of Variance (4/4-4/7) | |
13 | Repeated Measures | Analysis of Repeated Measures (4/9-4/11) | |
14 | RM for Treatment Designs | Repeated Measures and Mixed Models (4/14-4/18) | |
15 | Mixed Models | Additional Topics and catch-up (4/21-4/23) |
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Since this is an applied methods course, the emphasis will be on applications of the methods discussed in class. Graded homework will be assigned each week. Homeworks will require the use of the computer software. The SAS System software will be the primary computing tool, but some examples in S+ (or R ) may be used in those situations that SAS doesn't handle well. We will discuss how student actually get access to SAS, S+ or R in the first week of classes. Some student may wish to acquire their own license for SAS to do the course homeworks. R is publically available and S+ is available in the Statistics Department and other departments around campus.
Short reports on the conclusions and/or findings of the analysis will be part of the homework requirements. You cannot pass this class without doing the homeworks.
One or more quizzes may be given but they will not constitute the bulk of
course credit.
Lectures will be accompanied with instructor-prepared powerpoint slides. Powerpoint slides will be converted to pdf format and posted on this web site. The pdf format will contain 4 slides per page providing a consise record of what was discussed in lecture. Lecture slides should be available prior to the lecture but is not quaranteed. Adobe Acrobat Reader is required to view these files. If you do not have Acrobat, it may be obtained from the Adobe web site.